Multiple object processing in wide-angle video camera

ABSTRACT

A multi object processing video camera is disclosed. The video camera comprises an image scan and capture circuit capable of capturing a wide-angle field of view in high resolution and a processing circuit capable of executing a plurality of software tasks on a plurality of regions from the image sensor and capture circuit based upon the wide angle field of view. The video camera includes memory for storing programs for the processing circuit based upon the captured wide angle field of view and a network connection coupled to the processing circuit. A wide-angle motion video camera for use in surveillance and security applications is disclosed in which multiple objects can be processed by the camera and the results of the processing transmitted to a base station.

RELATED APPLICATIONS

The present invention is related to the following copending U.S. patent applications:

U.S. patent application, Ser. No. ______ (Attorney Docket No. 2823P), entitled “Correction of Optical Distortion by Image Processing”, filed on even date herewith and assigned to the assignee of the present invention.

U.S. patent application, Ser. No. ______ (Attorney Docket No. 2838P), entitled “Multiple View Processing in Wide-Angle Video Camera”, filed on even date herewith and assigned to the assignee of the present invention.

U.S. patent application, Ser. No. ______ (Attorney Docket No. 2840P), entitled “Method and System of Simultaneously Displaying Multiple View for Video Surveillance”, filed on even date herewith and assigned to the assignee of the present invention.

FIELD OF THE INVENTION

The present invention relates generally to programmable wide-angle video cameras which can process multiple objects.

BACKGROUND OF THE INVENTION

Many retail stores use video pan, tilt, and zoom, cameras (PTZ) for surveillance of customers to prevent shoplifting. If the camera is pointed and zoomed appropriately a person can be observed in detail and innocent actions distinguished from theft. It is common practice for security personnel to monitor customers with a PTZ camera as they move around a store, but manual tracking is limited by attention span and the number of targets that can be tracked. Similar manual observation is unsuitable for other security tasks such as smoke detection, left package identification, and face recognition. There is a need for reliable automatic processing of images captured by a video camera that is addressed by this disclosure.

Automatic motion detection and object tracking has been developed to facilitate security monitoring by closed circuit television. In video motion detection, comparison is made between a live video image and a stored representation of one or more earlier video images in order to detect relative motion on the basis of a difference between the live and stored images. Most commercial surveillance cameras incorporate motion detection that may be used to trigger an alarm. U.S. Pat. No. 5,396,284 discloses a multiple camera system, which incorporates motion detection performed by a computer connected to the cameras.

Object tracking is a more sophisticated technique than motion detection as it identifies an object and follows its movement. U.S. Pat. No. 5,434,617 discloses means for automatically controlling camera movement to track and display the location of a moving object. A fixed spotting camera is used to capture a field of view, and a moving PTZ camera is directed to the target's location. Information for driving the PTZ camera is obtained with reference to the difference between a current image and a previous image within the spotting camera's field of view. This system requires that a fixed camera always be used in conjunction with the PTZ camera. The reference discusses a specific approach to object tracking but also indicates that vision-based surveillance systems collect far too much video to analyze off-line at some later time; the solution proposed in this paper still relies on central processing and does not propose a distributed solution in which processing is carried out at the source of the video data. In failing to recognize this the prior art misses an important benefit of in-camera processing which is that the total system processing power rises in proportion to the amount of video data captured; for every new camera added more compute is also added. This inherent scaling reduces the cost of deployment because computing power does not need to be over-specified at first installation in anticipation of future expansion.

The use of behaviour analysis software in conjunction with object tracking and motion detection can be used to filter abnormal from normal behaviour. U.S. Pat. No. 5,666,157 describes a device in which video signals of sampled movements of an individual are compared with movements indicative of criminal intent. The level of criminal intent of the individual or individuals is determined and an appropriate alarm signalled. Further analysis software may be used to identify objects left unattended, or other hazards such as smoke or fire. For example, automatic detection of smoke through video cameras is discussed in Aube, 12^(th) International Conference on Automatic Fire Detection, 2001, which identifies three distinct processing techniques; in this reference all processing is performed at the base station but the algorithms discussed are applicable to in-camera processing. Many different algorithms may be usefully executed on captured video data and those algorithms will vary with different environments. For example, the algorithms deployed to monitor the entrance to a bank might be different to those used to monitor hazardous material.

All the algorithms discussed produce more accurate results if they are applied to high-resolution image data. If the necessary image processing is applied away from the camera the quantity of data transmitted is very large. For this reason the prior art is unable to cope with the heavy demands of a large security installation such as might be found in an airport. If hundreds of video cameras are used to monitor passenger behaviour then the data flow through the system might be in the region of 1 Terabit (one million million bits) per second. Such a system would be prohibitively expensive to deploy. Further, if each camera is used to track a single object the number of cameras must be very large or many candidates for tracking will be ignored. The ability to track more than one object with a single camera greatly improves the quality of surveillance provided by the system.

The present invention addresses such a need.

SUMMARY OF THE INVENTION

A programmable multi object processing wide-angle video camera is disclosed. The video camera comprises a wide-angle optical system, an image sensor and capture circuit capable of capturing a wide-angle field of view in high resolution and a processing circuit capable of executing a plurality of software tasks on a plurality of regions. One or more such regions may be corrected for geometric distortions introduced by the said optical system. The video camera includes a data memory and a program memory for storing programs for the processing circuit based upon the captured wide angle field of view and a network connection coupled to the processing circuit.

A programmable wide-angle motion video camera for use in surveillance and security applications is disclosed in which multiple objects can be processed by the camera and the results of the processing transmitted to a base station.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a system in accordance with the present invention.

FIG. 2 illustrates one embodiment of an image processing circuit.

FIG. 3 illustrates the implementation of algorithms with a combination of fixed-function and programmable hardware.

DETAILED DESCRIPTION

The present invention relates generally to programmable wide-angle video cameras and more specifically to multiple object processing in such cameras. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements. Various modifications to the preferred embodiment and the generic principles and features described herein will be readily apparent to those skilled in the art. Thus, the present invention is not intended to be limited to the embodiment shown but is to be accorded the widest scope consistent with the principles and features described herein.

The present invention also extends the multiple view wide-angle video camera disclosed in the related application entitled “Multiple View Processing in Wide-Angle Video Camera” (Attorney Docket No. 2838P), which is included here by reference and adds to it the ability to independently process several areas of the captured views at the same time. The wide-angle view enables software within the camera to monitor a specific object without losing sight of other objects, hence multiple objects may be monitored simultaneously. In this context an object may be for example, but not limited to, a person, a vehicle, an unattended package, smoke, or fire.

Referring to FIG. 1, a system 10 in accordance with the present invention consists of an image sensor and circuitry 12 which captures a wide-angle view, a processing circuit 14 which executes programs upon the captured image, a program store 16 to hold software programs for execution by the processing circuit, and a network connection 18 which connects the camera to a base station 20 or other camera. In another embodiment a magnetic disk drive is added for the storage of captured video. This captured video may be the full wide-angle frame, or regions of interest within the frame, and may be as captured or after processing for geometric distortions introduced by the optical system. When an event is detected it may be useful to refer back to previous frames; for example, behaviour analysis in software may detect the actions of a pick-pocket, and then refer to previously captured video to find a good representation of the pick-pocket's face. Other processing algorithms may similarly find access to stored video data useful.

In one embodiment, the image processing circuit 14 shown in FIG. 2 is represented by a type of circuit known as a digital signal processor. In this arrangement an arithmetic and logic unit 30 is controlled by an instruction sequencer 32 that in turn fetches instructions from memory 36 via an instruction cache 38. The instructions executed by the instruction sequencer may cause the ALU 44 to operate upon data held in register storage 40 or memory accessed via a cache 42, or the output of the image capture circuitry 4. The program to execute is held in volatile or non-volatile memory within the camera and may be loaded at the time of manufacture, or as an upgrade procedure in the field, or downloaded to the camera during normal operation.

In another embodiment, image processing circuitry may be made of a number of digital signal processors or application specific processors each with its own data and program memory.

It should however be clear to those skilled in the art that the algorithms mentioned here may be implemented with a combination of fixed-function and programmable hardware such as is shown in FIG. 3. In this alternative embodiment the image processing circuitry 14″ is implemented by a programmable graphics processor in which the rasterizer 50 produces the coordinates of the output image and passes them to the pixel shader 52 which calculates the pixels in the captured video image to be used, causes them to be read from memory 54 via a cache 56, optionally filtered 62, and processed by the pixel shader 52. The resulting pixels are transferred to the pixel write unit 58, which writes them to memory via a cache 60. In this embodiment data from the image capture circuit 8 is fed directly to the same memory that is used hold the resulting pixel data. In another embodiment the image processing circuitry may be a combination of a digital signal processor and a graphics processor while the control circuitry is implemented with a commonly available central processing unit such as that found in personal computers. Those skilled in the art will recognise that these examples are indicative of possible implementations without being exhaustive.

The network connection referred to in FIG. 1 enables new programs to be loaded into the camera as necessary. It also facilitates the loading of data for use by processing software within the camera. This might include facial data used in face recognition software such that one or more cameras may be constantly search for faces without transmitting any information to the base station until a possible match is found. In the same way the camera may hold vehicle license plate data and only transmit information to the base station when a match is found.

In one embodiment, the programs to be executed are stored in local non-vilatile stsorage such as magnetic storage or read only solid state memory.

The camera may transmit the results of the in-camera processing to another camera to facilitate object tracking across discontinuous fields of view. If one camera has determined that an object is suspicious and should be tracked it may signal the position and trajectory to other cameras such that the object does not have to be re-acquired as it moves into the field of view of the other camera. Similarly, if a camera determines an event to be suspicious it may signal the position of this event to other cameras such that the other cameras may validate the first camera's analysis before the alarm to the base station is signalled. For example, in-camera processing may detect smoke within its field of view but request confirmation from other points of view before raising an alarm. In another example in-camera processing may identify behaviour as illegal but be unable to record the perpetrators face so the position may be sent to another camera which captures an image of the face.

The foregoing has described methods for the implementation of a multiple object processing video camera that are given for illustration and not for limitation. Thus the invention is to be limited only by the appended claims.

Although the present invention has been described in accordance with the embodiments shown, one of ordinary skill in the art will readily recognize that there could be variations to the embodiments and those variations would be within the spirit and scope of the present invention. Accordingly, many modifications may be made by one of ordinary skill in the art without departing from the spirit and scope of the appended claims. 

1. A multi object processing video camera comprising: a wide-angle optical unit connected to a digital image sensor capable of capturing a wide-angle field of view in high resolution; a processing circuit capable of executing a plurality of software tasks on a plurality of regions from said image sensor and capture circuit based upon said wide angle field of view one of said software tasks being always the correction of geometric distortions introduced by said wide angle optical system; a program and data memory to hold said software for execution by said processing circuit.
 2. The multi object processing video camera of claim 1 which includes a network connection coupled to said processing circuit.
 3. The multi object processing video camera of claim 2 wherein said network connection utilizes an Internet protocol.
 4. The multi object processing video camera of claim 2 in which said network connection may be used to receive control commands from a base station.
 5. The multi object processing video camera of claim 2 in which said network a connection may be used to load software into said program and data memory.
 6. The multi object processing video camera of claim 1 in which said software tasks include tracking of object movement, said object's spatial coordinates and or trajectory a being transferred to one or more base stations or other cameras.
 7. The multi object processing video camera of claim 2 in which said software tasks include smoke detection.
 8. The multi object processing video camera of claim 1 in which said software tasks include left package detection.
 9. The multi object processing video camera of claim 2 in which said software tasks include face recognition by comparison with data loaded by into camera said network a connection.
 10. The multi object processing video camera of claim 2 in which said software tasks include vehicle license plate recognition by comparison with data loaded into camera by said network connection.
 11. The multi object processing video camera of claim 1 in which said software tasks include behaviour analysis.
 12. The multi object processing video camera of claim 1 including magnetic storage in addition to said program and data memory for the purpose of storing captured a video data, said data being either wide-angle or a selected region and either as captured or processed.
 13. The multi object processing video camera of claim 12 in which said stored video data is made available for further processing within said camera. 